Director – Data Platform

Job not on LinkedIn

🔥 19 hours ago

🇺🇸 United States – Remote

⏰ Full Time

🔴 Lead

🚰 Data Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 10%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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CSI

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 1965

💳 Fintech

🏦 Banking

🔒 Cybersecurity

💰 Private Equity Round on 2024-01

Fintech • Banking • Cybersecurity

CSI is a technology company specializing in modern banking solutions, offering products such as core banking software, digital banking, payment processing, and managed cybersecurity services. Their integrated solutions also include advisory services focused on financial crimes compliance and mitigation. CSI aims to empower financial institutions to thrive in a digital landscape while enhancing customer experience and operational efficiency.

📋 Description

• Lead a function and/or collection of teams within CSI's data engineering organization • Design, deliver, and continuously improve secure, scalable, well-governed data platforms and pipelines across banking and fintech solutions • Execute the data platform technology vision and organizational plans • Establish short- and long-term goals, standards, and processes aligned with product, analytics, and AI strategies • Lead engineering managers and direct data engineers, data architects, quality engineers, and other contributors • Own the quality of data pipelines, warehouses, and platforms • Direct Snowflake architecture, performance, warehouse sizing, workload management, and credit optimization • Standardize data engineering practices including data modeling, pipeline testing, dbt transformations, documentation, and platform performance reporting • Review and approve platform releases, schema changes, and deployment plans • Lead root cause analysis for significant data quality incidents and pipeline failures • Own and mature data governance, classification, lineage, cataloging, and retention practices • Serve as a primary contact for internal and external audits and manage evidence collection • Partner with Compliance, Risk, Legal, Security, vendor management, infrastructure, operations, product, analytics, data science/AI, QA, and network teams • Implement role-based access control and least-privilege principles • Lead data quality monitoring, issue remediation, and metadata management programs • Establish dashboards and KPIs for departmental priorities, reliability, data quality, and goal achievement • Prepare and manage departmental budgets, Snowflake spend, headcount planning, staffing, and workload balance • Lead, mentor, and evaluate managers through 1:1s, goal setting, coaching, and performance reviews • Participate in interviews and hiring decisions • Build high-performing teams and recruit, develop, and retain data engineering talent • Oversee access controls, audit trails, vendor risk, contract review, cost control, SOC 2, and compliance efforts

🎯 Requirements

• Bachelor's degree in Computer Science, Data Engineering, Information Systems, or a related field, or equivalent experience • 10+ years of relevant experience in data engineering or software engineering • Strong technical background as an individual contributor on data platforms • Proven, hands-on experience with Snowflake, including architecture, performance tuning, security model, and cost/credit management • Experience managing managers and leading multi-layered data engineering teams in a complex environment • Expertise in data governance, data classification, and metadata management practices across large teams • Direct experience supporting internal and external audit engagements, including evidence collection, control testing, and remediation • Strong understanding of Agile methodologies • Success recruiting, developing, and retaining high-quality data engineering teams • Excellent written and oral communication skills • Strong analytical, decision-making, and problem-solving skills; comfortable operating with ambiguity • Experience in banking, fintech, or financial services, including regulated data environments (preferred) • Experience with the modern data stack and cloud platforms such as AWS or Azure (preferred) • Experience with data catalog and lineage tooling and classification/tagging frameworks (preferred) • Familiarity with GLBA, HMDA, SOC 2, or similar regulatory frameworks (preferred) • Deep experience with Atlassian Jira or Azure DevOps (preferred) • Experience driving change across a complex, global engineering organization (preferred) • Familiarity with vendor management and security or RFP response processes (preferred) • Applicants must be authorized to work in the United States without visa sponsorship now or in the future

🏖️ Benefits

• Eligibility for incentive awards based on both individual and business performance • Comprehensive range of benefits